Bidirectional confidential with bilateral filter on local based optical flow for image reconstruction under noisy condition

Kesrarat, Damn; Patanavijit, Vorapoj

doi:10.1109/snpd.2015.7176211

Cited by 2 publications

(2 citation statements)

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“…The T-OF using the inverse confidential technique with bilateral function (T-IB) [25] is the accompanying method between inverse confidential technique and bilateral function. The procedure of T-RB is illustrated in Figure 1.…”

Section: T-of Using Inverse Confidential Technique With Bilateral Functionmentioning

confidence: 99%

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Noise resistance territorial intensity-based optical flow using inverse confidential technique on bilateral function

Kesrarat¹,

Patanavijit²

2021

Bulletin EEI

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This paper presents the use of the inverse confidential technique on bilateral function with the territorial intensity-based optical flow to prove the effectiveness in noise resistance environment. In general, the image’s motion vector is coded by the technique called optical flow where the sequences of the image are used to determine the motion vector. But, the accuracy rate of the motion vector is reduced when the source of image sequences is interfered by noises. This work proved that the inverse confidential technique on bilateral function can increase the percentage of accuracy in the motion vector determination by the territorial intensity-based optical flow under the noisy environment. We performed the testing with several kinds of non-Gaussian noises at several patterns of standard image sequences by analyzing the result of the motion vector in a form of the error vector magnitude (EVM) and compared it with several noise resistance techniques in territorial intensity-based optical flow method.

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Section: T-of Using Inverse Confidential Technique With Bilateral Functionmentioning

confidence: 99%

“…This paper focuses on the noise resistance territorial intensity-based optical flow method using the inverse confidential technique on bilateral function [25]. This paper intends to inspect the effectiveness of optical coding on non-Gaussian noises in contaminating with sequences image data set.…”

Section: Introductionmentioning

confidence: 99%